South Asia bears a high cancer burden, low universal health coverage and high out-of-pocket expenditure. Access to anticancer medicines is challenging and is influenced by determinants—National Essential Medicines List (NEML), registration and local production—yet these are rarely evaluated. This study evaluates these determinants in eight South Asian countries.

Multimethod study using a document analysis phase and semistructured interviews.

Eight South Asian countries (Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka) for document analysis, with stakeholder interviews conducted in six countries, excluding Bhutan and Maldives.

Data were collected from eight regulatory authorities and 30 interviews with drug supply chain stakeholders across six South Asian countries.

The inclusion of 67 anticancer medicines from the 2023 WHO Essential Medicines List (EML) into NEML, their registration and local production, along with macrolevel indicators and stakeholders’ perspectives regarding them.

The median number of medicines included in NEMLs, registered and locally produced was 23.5, 45 and 6.5, respectively. Local production correlated positively with NEML inclusion (=0.884, p=0.004) and negatively with healthcare expenditure (r = –0.732, p=0.039). Three countries listed >50% of the WHO EML medicines on their NEMLs; six had >50% registered. Local production remained limited, with imports dominating supply. Qualitative analysis identified three key barriers to improving availability: financial constraints, a weak regulatory system and insufficient strategic planning.

Access to anticancer medicines is constrained by systemic misalignment between NEML inclusion, registration and local production, undermined by weak regulatory coordination, limited strategic planning and financial constraints. Strengthening regulatory coordination, improving registration efficiency and supporting regional production strategies aligned with guided WHO guidance may help improve equitable access to cancer medicines in the region.

Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study investigated the spatial and temporal patterns of notification rates for asthma from clinic visits and hospital discharges and identified demographic, meteorological and environmental factors that drive asthma in Bhutan.

Monthly numbers of asthma notifications from 2016 to 2022 were obtained from the Bhutan Ministry of Health. Climatic variables (rainfall, relative humidity, minimum and maximum temperature) were obtained from the National Centre for Hydrology and Meteorology, Bhutan. The Normalised Difference Vegetation Index (NDVI) and surface particulate matter (PM2.5) were extracted from open sources. A multivariable zero-inflated Poisson regression (ZIP) model was developed in a Bayesian framework to quantify the relationship between risk of asthma and sociodemographic and environmental correlates, while also identifying the underlying spatial structure of the data.

There were 12 696 asthma notifications, with an annual average prevalence of 244/100 000 population between 2016 and 2022. In ZIP analysis, asthma notifications were 3.4 times (relative risk (RR)=3.39; 95% credible interval (CrI) 3.047 to 3.773) more likely in individuals aged >14 years than those aged ≤14 years, and 43% (RR=1.43; 95% CrI 36.5% to 49.2%) more likely for females than males. Asthma notification increased by 0.8% (RR=1.008, 95% CrI 0.2% to 1.5%) for every 10 cm increase in rainfall, and 1.7% (RR=1.017; 95% CrI 1.2% to 2.3%) for a 1°C increase in maximum temperature. An increase in one unit of NDVI and 10 µg/m³ PM2.5 was associated with 27.3% (RR=1.273; 95% CrI 8.7% to 49.2%), and 2.0% (RR=1.02; 95% CrI 1.0% to 4.0%) increase in asthma notification, respectively. The high-risk spatial clusters were identified in the south and southeastern regions of Bhutan, after accounting for covariates.

Environmental risk factors and spatial clusters of asthma notifications were identified. Identification of spatial clusters and environmental risk factors can help develop targeted interventions that maximise impact of limited public health resources for controlling asthma in Bhutan.